Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and maintain scalable data pipelines for efficient data processing and analysis.
- Company: Join Qodea, Europe's leading Google Cloud consultancy, passionate about innovation and exceptional results.
- Benefits: Enjoy competitive salary, flexible working hours, 36 days leave, and private medical insurance.
- Why this job: Be part of a dynamic team driving digital transformation and empowering clients in their industries.
- Qualifications: Experience with cloud platforms, SQL, and programming languages like Python; strong analytical skills required.
- Other info: Embrace diversity and inclusion; opportunities for career advancement and professional development await.
The predicted salary is between 28800 - 48000 £ per year.
Join Europe\’s leading, high-growth Google Cloud consultancy. At Qodea, you\’ll be part of a team energised by innovation and passionate about delivering exceptional results. We craft cutting-edge solutions in data and analytics, AI, cloud infrastructure and security, driving digital transformation that empowers our customers to scale, modernise and lead in their industries. We\’re driven by ideas and powered by our people.
We are looking for a Data Engineer with skills in cloud platforms (GCP/AWS/Azure), SQL and a programming language (python ideally).
We really value in-person collaboration, so we\’re looking for you to spend at least 60% of your time on-site. This means being at our company offices or at a client\’s site.
How You\’ll Shape Our Success
The purpose of this role is to design, build, and maintain scalable data pipelines and infrastructure that enable the efficient processing and analysis of large, complex data sets.
What You\’ll Do
Develop and maintain automated data processing pipelines using Google Cloud:
- Design, build, and maintain data pipelines to support data ingestion, ETL, and storage
- Build and maintain automated data pipelines to monitor data quality and troubleshoot issues
Implement and maintain databases and data storage solutions:
- Stay up-to-date with emerging trends and technologies in big data and data engineering
- Ensure data quality, accuracy, and completeness
Implement and enforce data governance policies and procedures to ensure data quality and accuracy:
- Collaborate with data scientists and analysts to design and optimise data models for analytical and reporting purposes
- Develop and maintain data models to support analytics and reporting
- Monitor and maintain data infrastructure to ensure availability and performance
Requirements
What You\’ll Need to Succeed
- Experience with cloud platforms such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform (GCP)
- Proficiency in SQL and experience with relational databases such as MySQL, PostgreSQL, or Oracle
- Experience with big data technologies such as Hadoop, Spark, or Hive
- Familiarity with data warehousing and ETL tools such as Amazon Redshift, Google BigQuery, or Apache Airflow
- Proficiency in at least one programming language such as Python, Java, or Scala
- Strong analytical and problem-solving skills with the ability to work independently and in a team environment
How You\’ll Grow
- Exceptional performance in this role can lead to advancement opportunities within our career framework or internal opportunities with other business areas, aligned with your career aspirations and business needs
- Potential career development could include progression to the next level or cross-skilling into related roles, such as senior in our Data&AI department, based on performance and ongoing development
Benefits
Financial:
- Competitive base salary
- Matching pension scheme (up to 5%) from day one
- Discretionary company bonus scheme
- 4 x annual salary Death in Service coverage from day one
- Employee referral scheme
Health and Wellbeing:
- Private medical insurance from day one
- Help@Hand app: access to remote GPs, second opinions, mental health support, and physiotherapy
- EAP service
- Cycle to Work scheme
Time Off and Flexibility:
- 36 days annual leave (inclusive of bank holidays)
- An extra paid day off for your birthday
- Ten paid learning days per year
- Flexible working hours
- Market-leading parental leave
- Sabbatical leave (after five years)
- Work from anywhere (up to 3 weeks per year)
Development and Recognition:
- Industry-recognised training and certifications
- Bonusly employee recognition and rewards platform
- Clear opportunities for career development
- Length of Service Awards
Extra Perks:
- Regular company events
- Tech Scheme
Diversity and Inclusion Statement
At Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all. If you feel we can improve in any way, please reach out to our careers team via email at careers@qodea.com or connect with us on LinkedIn via our Qodea Company Page. #J-18808-Ljbffr
Data Engineer employer: Qodea
Contact Detail:
Qodea Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific cloud platforms mentioned in the job description, especially Google Cloud Platform (GCP). Consider taking a short online course or certification to boost your knowledge and demonstrate your commitment to potential employers.
✨Tip Number 2
Network with current employees or professionals in the data engineering field. Use platforms like LinkedIn to connect with them, ask about their experiences at Qodea, and seek advice on how to stand out as a candidate.
✨Tip Number 3
Prepare to discuss your experience with SQL and data processing pipelines in detail during interviews. Be ready to share specific examples of projects you've worked on that showcase your skills in building and maintaining data infrastructure.
✨Tip Number 4
Stay updated on the latest trends in big data technologies and data engineering practices. Follow relevant blogs, podcasts, or forums to ensure you can engage in informed discussions during interviews and show your passion for the field.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud platforms like GCP, AWS, or Azure, as well as your proficiency in SQL and any programming languages, particularly Python. Use specific examples of projects you've worked on that relate to data engineering.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data engineering and innovation. Mention how your skills align with the role's requirements and how you can contribute to Qodea's mission of delivering exceptional results in data and analytics.
Showcase Relevant Projects: If you have worked on relevant projects, either professionally or personally, include them in your application. Describe your role, the technologies used, and the outcomes achieved. This will demonstrate your hands-on experience and problem-solving skills.
Highlight Collaboration Skills: Since Qodea values in-person collaboration, emphasise your ability to work effectively in teams. Share examples of how you've collaborated with others in previous roles, especially in designing and optimising data models or troubleshooting data issues.
How to prepare for a job interview at Qodea
✨Showcase Your Cloud Skills
Make sure to highlight your experience with cloud platforms like GCP, AWS, or Azure. Be prepared to discuss specific projects where you utilised these technologies, as this will demonstrate your hands-on expertise.
✨Demonstrate SQL Proficiency
Since SQL is a key requirement for the role, be ready to answer technical questions or even solve problems on the spot. Brush up on your SQL skills and think of examples where you've used it to manage or analyse data.
✨Prepare for Data Pipeline Discussions
Expect questions about designing and maintaining data pipelines. Think about your previous experiences with ETL processes and be ready to explain how you ensured data quality and efficiency in your past roles.
✨Emphasise Team Collaboration
Given the company's focus on in-person collaboration, be prepared to discuss how you work within a team. Share examples of successful collaborations with data scientists or analysts, highlighting your communication skills and teamwork.
